{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T21:55:07Z","timestamp":1761947707406},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2011,4,3]],"date-time":"2011-04-03T00:00:00Z","timestamp":1301788800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Evol. Intel."],"published-print":{"date-parts":[[2011,6]]},"DOI":"10.1007\/s12065-011-0056-1","type":"journal-article","created":{"date-parts":[[2011,4,2]],"date-time":"2011-04-02T05:33:03Z","timestamp":1301722383000},"page":"81-97","source":"Crossref","is-referenced-by-count":20,"title":["Surrogate-assisted clonal selection algorithms for expensive optimization problems"],"prefix":"10.1007","volume":"4","author":[{"given":"Heder S.","family":"Bernardino","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helio J. C.","family":"Barbosa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonardo G.","family":"Fonseca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,4,3]]},"reference":[{"issue":"3","key":"56_CR1","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/s00158-008-0230-y","volume":"37","author":"E Acar","year":"2009","unstructured":"Acar E, Rais-Rohani M (2009) Ensemble of metamodels with optimized weight factors. Struct Multidisc Optim 37(3):279\u2013294","journal-title":"Struct Multidisc Optim"},{"issue":"1\u20135","key":"56_CR2","first-page":"1","volume":"11","author":"DW Aha","year":"1997","unstructured":"Aha DW (1997) Editorial. Artif Intell Rev 11(1\u20135):1\u20136 Special issue on lazy learning","journal-title":"Artif Intell Rev"},{"key":"56_CR3","unstructured":"AISWeb (2008): the online home of artificial immune systems. http:\/\/www.artificial-immune-systems.org. , accessed 11\/09\/2008"},{"key":"56_CR4","doi-asserted-by":"crossref","unstructured":"Barbosa HJC, Bernardino HS, Barreto AMS (2010) Using performance profiles to analyze the results of the 2006 CEC constrained optimization competition. In: IEEE world congress on computational intelligence. Barcelona, Spain","DOI":"10.1109\/CEC.2010.5586105"},{"key":"56_CR5","doi-asserted-by":"crossref","unstructured":"Bernardino HS, Barbosa HJ, Fonseca LG (2010) A faster clonal selection algorithm for expensive optimization problems. In: Hart E, McEwan C, Timmis J, Hone A (eds) Artificial immune systems, lecture notes in computer science, vol 6209. Springer, Berlin \/ Heidelberg, pp 130\u2013143","DOI":"10.1007\/978-3-642-14547-6_11"},{"key":"56_CR6","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/978-3-642-00267-0_14","volume-title":"Nature-inspired algorithms for optimisation.","author":"HS Bernardino","year":"2009","unstructured":"Bernardino HS, Barbosa HJC (2009) Artificial immune systems for optimization. In: Chiong R (ed) Nature-inspired algorithms for optimisation.. Springer, Berlin, pp 389\u2013411"},{"key":"56_CR7","unstructured":"Bernardino HS, Fonseca LG, Barbosa HJC (2009) Surrogate-assisted artificial immune systems for expensive optimization problems. In: dos Santos WP (ed) Evolutionary computation. IntechWeb, pp 179\u2013198"},{"issue":"4","key":"56_CR8","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1287\/inte.4.4.32","volume":"4","author":"RW Blanning","year":"1974","unstructured":"Blanning RW (1974) The source and uses of sensivity information. Interfaces 4(4):32\u201338","journal-title":"Interfaces"},{"issue":"3","key":"56_CR9","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/TEVC.2002.1011539","volume":"6","author":"LN Castro de","year":"2002","unstructured":"de Castro LN, von Zuben FJ (2002) Learning and optimization using the clonal selection principle. IEEE Trans Evol Comput 6(3):239\u2013251","journal-title":"IEEE Trans Evol Comput"},{"key":"56_CR10","doi-asserted-by":"crossref","unstructured":"Custodio FL, Barbosa HJC, Dardenne LE (2010) Full-atom ab initio protein structure prediction with a genetic algorithm using a similarity-based surrogate model. In: IEEE world congress on computational intelligence. Barcelona, Spain","DOI":"10.1109\/CEC.2010.5585959"},{"key":"56_CR11","doi-asserted-by":"crossref","unstructured":"Cutello V, Narzisi G, Nicosia G, Pavone M (2005) Clonal selection algorithms: A comparative case study using effective mutation potentials. In: Proc. of the intl. conf. on artificial immune systems\u2014ICARIS 2005, LNCS, vol 3627. Springer, Banff, Canada, pp 13\u201328","DOI":"10.1007\/11536444_2"},{"key":"56_CR12","doi-asserted-by":"crossref","unstructured":"Cutello V, Nicosia G, Pavone M (2006) Real coded clonal selection algorithm for unconstrained global optimization using a hybrid inversely proportional hypermutation operator. In: Proc. of the ACM symposium on applied computing\u2014SAC \u201906. ACM Press, New York, pp 950\u2013954","DOI":"10.1145\/1141277.1141501"},{"issue":"2","key":"56_CR13","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1007\/s101070100263","volume":"91","author":"E Dolan","year":"2002","unstructured":"Dolan E, Mor\u00e9 JJ (2002) Benchmarcking optimization software with performance profiles. Math Program 91(2):201\u2013213","journal-title":"Math Program"},{"issue":"4","key":"56_CR14","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1109\/TEVC.2005.859463","volume":"10","author":"M Emmerich","year":"2006","unstructured":"Emmerich M, Giannakoglou K, Naujoks B (2006) Single- and multiobjective evolutionary optimization assisted by gaussian random field metamodels. Evol Comput 10(4):421\u2013439","journal-title":"Evol Comput"},{"issue":"1","key":"56_CR15","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/TNN.2004.836233","volume":"16","author":"S Ferrari","year":"2005","unstructured":"Ferrari S, Stengel RF (2005) Smooth function approximation using neural networks. IEEE Trans Neural Netw 16(1):24\u201338","journal-title":"IEEE Trans Neural Netw"},{"key":"56_CR16","unstructured":"Fonseca LG, Barbosa HJC, Lemonge ACC (2007) Metamodel assisted genetic algorithm for truss weight minimization. In: ICMOSPS\u201907. Durban, South Africa. CD-ROM"},{"key":"56_CR17","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s12597-009-0006-1","volume":"46","author":"LG Fonseca","year":"2009","unstructured":"Fonseca LG, Barbosa HJC, Lemonge ACC (2009) A similarity-based surrogate model for enhanced performance in genetic algorithms. Opsearch 46:89\u2013107","journal-title":"Opsearch"},{"key":"56_CR18","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1007\/978-3-642-10701-6_9","volume-title":"Computational intelligence in expensive optimization problems","author":"LG Fonseca","year":"2010","unstructured":"Fonseca LG, Barbosa HJC, Lemonge ACC (2010) On similarity-based surrogate models for expensive single- and multi-objective evolutionary optimization. In: Tenne Y, Goh CK (eds) Computational intelligence in expensive optimization problems. Springer, New York, pp 219\u2013248"},{"key":"56_CR19","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.paerosci.2008.11.001","volume":"45","author":"AI Forrester","year":"2009","unstructured":"Forrester AI, Keane AJ (2009) Recent advances in surrogate-based optimization. Prog Aerosp Sci 45:50\u201379","journal-title":"Prog Aerosp Sci"},{"key":"56_CR20","first-page":"1052","volume":"1","author":"SM Garrett","year":"2004","unstructured":"Garrett SM (2004) Parameter-free, adaptive clonal selection. IEEE Congr Evol Comput 1:1052\u20131058","journal-title":"IEEE Congr Evol Comput"},{"issue":"1","key":"56_CR21","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/S0376-0421(01)00019-7","volume":"38","author":"KC Giannakoglou","year":"2002","unstructured":"Giannakoglou KC (2002) Design of optimal aerodynamic shapes using stochastic optimization methods and computational intelligence. Prog Aerosp Sci 38(1):43\u201376","journal-title":"Prog Aerosp Sci"},{"key":"56_CR22","unstructured":"Grefenstette J, Fitzpatrick J (2009) Genetic search with approximate fitness evaluations. In: Proc. of the intl. conf. on genetic algorithms and their applications, pp 112\u2013120"},{"issue":"1","key":"56_CR23","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1109\/TKDE.2006.15","volume":"18","author":"H Hu","year":"2006","unstructured":"Hu H, Lee DL (2006) Range nearest-neighbor query. IEEE Trans Knowl Data Eng 18(1):78\u201391","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"3","key":"56_CR24","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/TEVC.2005.846356","volume":"9","author":"Y Jin","year":"2005","unstructured":"Jin Y, Branke J (2005) Evolutionary optimization in uncertain environments-a survey. IEEE Trans Evol Comput 9(3):303\u2013317","journal-title":"IEEE Trans Evol Comput"},{"key":"56_CR25","volume-title":"Learning and soft computing: support vector machines, neural networks, and fuzzy logic models. Complex adaptive systems","author":"V Kecman","year":"2001","unstructured":"Kecman V (2001) Learning and soft computing: support vector machines, neural networks, and fuzzy logic models. Complex adaptive systems. MIT Press, Cambridge"},{"key":"56_CR26","unstructured":"Liang Y, Leung KS (2002) Two-way mutation evolution strategies, pp 789 \u2013794"},{"key":"56_CR27","doi-asserted-by":"crossref","unstructured":"Lim D, Jin Y, Ong YS, Sendhoff B (2010) Generalizing surrogate-assisted evolutionary computation. IEEE Trans Evol Comput 14(3):329\u2013355","DOI":"10.1109\/TEVC.2009.2027359"},{"issue":"4","key":"56_CR28","doi-asserted-by":"crossref","first-page":"687","DOI":"10.2514\/2.1999","volume":"41","author":"Y Ong","year":"2003","unstructured":"Ong Y, Nair P, Keane A (2003) Evolutionary optimization of computationally expensive problems via surrogate modeling. AIAA J 41(4):687\u2013696","journal-title":"AIAA J"},{"issue":"9\u201312","key":"56_CR29","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1016\/j.cma.2008.11.019","volume":"198","author":"C Praveen","year":"2009","unstructured":"Praveen C, Duvigneau R (2009) Low cost PSO using metamodels and inexact pre-evaluation: application to aerodynamic shape design. Comput Methods Appl Mech Eng 198(9\u201312):1087\u20131096","journal-title":"Comput Methods Appl Mech Eng"},{"key":"56_CR30","unstructured":"Rasheed K, Vattam S, Ni X (2002) Comparison of methods for using reduced models to speed up design optimization. In: Proc. of genetic and evolutionary computation conference. Morgan Kaufmann, New York, pp 1180\u20131187"},{"issue":"5","key":"56_CR31","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1109\/TEVC.2004.835247","volume":"8","author":"RG Regis","year":"2004","unstructured":"Regis RG, Shoemaker CA (2004) Local function approximation in evolutionary algorithms for the optimization of costly functions. IEEE Trans Evol Comput 8(5):490\u2013505","journal-title":"IEEE Trans Evol Comput"},{"key":"56_CR32","doi-asserted-by":"crossref","unstructured":"Runarsson T (2006) Approximate evolution strategy using stochastic ranking. In: Yen GG et\u00a0al (eds) IEEE world congress on computational intelligence. Vancouver, Canada, pp 745\u2013752","DOI":"10.1109\/CEC.2006.1688386"},{"key":"56_CR33","doi-asserted-by":"crossref","unstructured":"Runarsson TP (2004) Constrained evolutionary optimization by approximate ranking and surrogate models. In: Yao X et\u00a0al (eds) Proc. of 8th parallel problem solving from nature. Springer, Heidelberg, pp 401\u2013410","DOI":"10.1007\/978-3-540-30217-9_41"},{"key":"56_CR34","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/S1568-4946(02)00067-4","volume":"2","author":"M Salami","year":"2003","unstructured":"Salami M, Hendtlass T (2003) A fast evaluation strategy for evolutionary algorithms. Appl Soft Comput 2:156\u2013173","journal-title":"Appl Soft Comput"},{"key":"56_CR35","unstructured":"Sanchez E, Pintos S, Queipo N (2007) Toward an optimal ensemble of kernel-based approximations with engineering applications. Structural and multidisciplinary optimization, pp 1\u201315"},{"key":"56_CR36","doi-asserted-by":"crossref","unstructured":"Sastry K, Lima CF, Goldberg DE (2006) Evaluation relaxation using substructural information and linear estimation. In: Proc. of the 8th annual conference on genetic and evolutionary computation. ACM Press, New York, pp 419\u2013426","DOI":"10.1145\/1143997.1144074"},{"key":"56_CR37","doi-asserted-by":"crossref","unstructured":"Shepard D (1968) A two-dimensional interpolation function for irregularly-spaced data. In: Proc. of the 1968 23rd ACM national conference. ACM Press, New York, pp 517\u2013524","DOI":"10.1145\/800186.810616"},{"key":"56_CR38","doi-asserted-by":"crossref","unstructured":"Smith RE, Dike BA, Stegmann, SA (1995) Fitness inheritance in genetic algorithms. In: Proc. of the ACM symposium on applied computing, pp 345\u2013350","DOI":"10.1145\/315891.316014"},{"key":"56_CR39","unstructured":"Suganthan PN (2010) Benchmarks for evaluation of evolutionary algorithms. http:\/\/www3.ntu.edu.sg\/home\/epnsugan\/index_files\/cec-benchmarking.htm , accessed in 2010"},{"key":"56_CR40","unstructured":"Suganthan PN, Hansen N, Liang JJ, Deb K, Chen YP, Auger A, Tiwari S (2005) Problem definitions and evaluation criteria for the cec 2005 special session on real-parameter optimization. Tech. Rep. 2005005, Nanyang Technological University"},{"key":"56_CR41","doi-asserted-by":"crossref","unstructured":"Sun XY, Gong D, Li S (2009) Classification and regression-based surrogate model-assisted interactive genetic algorithm with individual\u2019s fuzzy fitness. In: Proc. of the 11th annual conference on genetic and evolutionary computation. ACM Press, New York, pp 907\u2013914","DOI":"10.1145\/1569901.1570025"},{"key":"56_CR42","unstructured":"Tang K, Li X, Suganthan PN, Yang Z, Weise T (2009) Benchmark functions for the cec\u20192010 special session and competition on large scale global optimization. Tech. rep., Nature Inspired Computation and Applications Laboratory"},{"key":"56_CR43","unstructured":"Tang K, Yao X, Suganthan PN, MacNish C, Chen YP, Chen CM, Yang Z (2007) Benchmark functions for the cec\u20192008 special session and competition on large scale global optimization. Tech. rep., Nature Inspired Computation and Applications Laboratory"},{"issue":"6","key":"56_CR44","doi-asserted-by":"crossref","first-page":"1126","DOI":"10.1109\/TMAG.2007.915814","volume":"44","author":"EF Wanner","year":"2008","unstructured":"Wanner EF, Guimaraes FG, Takahashi RHC, Lowther DA, Ramirez JA (2008) Multiobjective memetic algorithms with quadratic approximation-based local search for expensive optimization in electromagnetics. IEEE Trans Magn 44(6):1126\u20131129","journal-title":"IEEE Trans Magn"},{"key":"56_CR45","unstructured":"Whitley D (2010) Test functions. http:\/\/www.cs.colostate.edu\/~genitor\/functions.html , accessed in 2010"},{"key":"56_CR46","doi-asserted-by":"crossref","DOI":"10.1142\/6986","volume-title":"Linear regression analysis: theory and computing","author":"X Yan","year":"2009","unstructured":"Yan X, Su XG (2009) Linear regression analysis: theory and computing. World Scientific Publishing Company, Singapore"},{"key":"56_CR47","unstructured":"Yang D, Flockton SJ (1995) Evolutionary algorithms with a coarse-to-fine function smoothing. IEEE Intl Conf Evol Comput 2:657\u2013662"},{"key":"56_CR48","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/4235.771163","volume":"3","author":"X Yao","year":"1999","unstructured":"Yao X, Liu Y, Lin G (1999) Evolutionary programming made faster. IEEE Trans Evol Comput 3:82\u2013102","journal-title":"IEEE Trans Evol Comput"}],"container-title":["Evolutionary Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-011-0056-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12065-011-0056-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-011-0056-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,9]],"date-time":"2019-06-09T16:34:55Z","timestamp":1560098095000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12065-011-0056-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,4,3]]},"references-count":48,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2011,6]]}},"alternative-id":["56"],"URL":"https:\/\/doi.org\/10.1007\/s12065-011-0056-1","relation":{},"ISSN":["1864-5909","1864-5917"],"issn-type":[{"value":"1864-5909","type":"print"},{"value":"1864-5917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,4,3]]}}}